1 files changed, 0 insertions, 62 deletions
diff --git a/gi/pf/pyp_word_model.h b/gi/pf/pyp_word_model.h
deleted file mode 100644
index 224a9034..00000000
--- a/gi/pf/pyp_word_model.h
+++ /dev/null
@@ -1,62 +0,0 @@
-#ifndef _PYP_WORD_MODEL_H_
-#define _PYP_WORD_MODEL_H_
-
-#include <iostream>
-#include <cmath>
-#include <vector>
-#include "prob.h"
-#include "ccrp.h"
-#include "m.h"
-#include "tdict.h"
-#include "os_phrase.h"
-
-// PYP(d,s,poisson-uniform) represented as a CRP
-template <class Base>
-struct PYPWordModel {
-  explicit PYPWordModel(Base* b) :
-      base(*b),
-      r(1,1,1,1,0.66,50.0)
-    {}
-
-  void ResampleHyperparameters(MT19937* rng) {
-    r.resample_hyperparameters(rng);
-    std::cerr << " PYPWordModel(d=" << r.discount() << ",s=" << r.strength() << ")\n";
-  }
-
-  inline prob_t operator()(const std::vector<WordID>& s) const {
-    return r.prob(s, base(s));
-  }
-
-  inline void Increment(const std::vector<WordID>& s, MT19937* rng) {
-    if (r.increment(s, base(s), rng))
-      base.Increment(s, rng);
-  }
-
-  inline void Decrement(const std::vector<WordID>& s, MT19937 *rng) {
-    if (r.decrement(s, rng))
-      base.Decrement(s, rng);
-  }
-
-  inline prob_t Likelihood() const {
-    prob_t p; p.logeq(r.log_crp_prob());
-    p *= base.Likelihood();
-    return p;
-  }
-
-  void Summary() const {
-    std::cerr << "PYPWordModel: generations=" << r.num_customers()
-         << " PYP(d=" << r.discount() << ",s=" << r.strength() << ')' << std::endl;
-    for (typename CCRP<std::vector<WordID> >::const_iterator it = r.begin(); it != r.end(); ++it) {
-      std::cerr << "   " << it->second.total_dish_count_
-                << " (on " << it->second.table_counts_.size() << " tables) "
-                << TD::GetString(it->first) << std::endl;
-    }
-  }
-
- private:
-
-  Base& base;  // keeps track of the draws from the base distribution
-  CCRP<std::vector<WordID> > r;
-};
-
-#endif